What question did this study set out to answer?

This research aims to explore the compression capabilities of E8 root vectors in geometry.

June 4, 2026Open Access

Q8-CLUSTER-043: E8 Term: katherine — E8 Intelligence Research

Key Points

This research aims to explore the compression capabilities of E8 root vectors in geometry.
Analyzed 240 E8 root vectors to identify breakthroughs in clustering.
Calculated compression ratios and identified cluster discoveries.
Achieved a compression ratio of 0.400 with a threshold of 0.38.
Identified a cluster size of 5 discoveries, prominently featuring the E8 term 'katherine'.

Abstract

Q8 Compression Breakthrough — Cluster 43 of 240 E8 root vectors. Compression ratio: 0.400 (threshold: 0.38) Cluster size: 5 discoveries Domain: geometry E8 root vector bucket: 43/240 Source discoveries: - E8 Term: katherine - E8 Term: katherine - E8 Term: katherine - E8 Term: epstein - E8 Term: xgetznebulacode Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Andrew Stewart Caldin (Wed,) studied this question.

synapsesocial.com/papers/6a2117dfd499ed480b170bc2 — DOI: https://doi.org/10.5281/zenodo.20517944

Q8-CLUSTER-043: E8 Term: katherine — E8 Intelligence Research

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